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CRAN: Package abcrf

abcrf: Approximate Bayesian Computation via Random Forests

Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests. Pudlo P., Marin J.-M., Estoup A., Cornuet J.-M., Gautier M. and Robert C. P. (2016) <doi:10.1093/bioinformatics/btv684>. Estoup A., Raynal L., Verdu P. and Marin J.-M. <http://journal-sfds.fr/article/view/709>. Raynal L., Marin J.-M., Pudlo P., Ribatet M., Robert C. P. and Estoup A. (2019) <doi:10.1093/bioinformatics/bty867>.

Version: 1.9 Depends: R (≥ 3.1) Imports: readr, MASS, matrixStats, ranger, doParallel, parallel, foreach, stringr, Rcpp (≥ 0.11.2) LinkingTo: Rcpp, RcppArmadillo Published: 2022-08-09 DOI: 10.32614/CRAN.package.abcrf Author: Jean-Michel Marin [aut, cre], Louis Raynal [aut], Pierre Pudlo [aut], Christian P. Robert [ctb], Arnaud Estoup [ctb] Maintainer: Jean-Michel Marin <jean-michel.marin at umontpellier.fr> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes In views: Bayesian CRAN checks: abcrf results Documentation: Downloads: Reverse dependencies: Linking:

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